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ov-mnist

An overhead and satellite analog to the classic MNIST Digit Recognizer dataset. Also include CSV versions for each image to match with other statistical and computer vision methods that extract features or build models without employ pixel-based deep learning.

Consists of training and test splits (9:1) and includes 1000 images per class as 28x28 pixel grayscale versions

Classes include:

class label train_count test_count
car 0 888 112
harbor 1 889 111
helicopter 2 655 82
oil_gas_field 3 888 110
parking_lot 4 888 112
plane 5 889 111
runway_mark 6 801 100
ship 7 889 111
stadium 8 843 105
storage_tank 9 889 111